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The dataset I choose is NY NOAA(dataset_noaa.html). These data were accessed from the NOAA National Climatic Data Center.

Column

Scatter Plot of Station Elevations in NY

stations %>% 
  filter(state == "NY") |> 
  mutate(text_label=str_c("Elevation:", elevation)) |> 
  filter(0<elevation & elevation<500) |> 
  plot_ly(x=~latitude,y=~longitude,color=~elevation,text=~text_label,
          type="scatter", mode="markers",alpha=.2,colors="viridis") |> 
  layout(
    title = "Scatter Plot of Station Elevations in NY",
    xaxis = list(title = "Latitude"),
    yaxis = list(title = "Longitude")
  )

In this Scatter plot, I only included data in NY state that contains elevation between zero and 500.

Column

The count of Elements with Less than 100 Occurrences

stations %>% 
  count(element) |> 
  filter(n<100) |> 
  mutate(element= fct_reorder(element, n))  |> 
plot_ly(x=~element,y=~n,color=~element,type="bar",colors="viridis") |> 
   layout(
    title = "The count of Elements with Less than 100 Occurrences",
    xaxis = list(title = "Element"),
    yaxis = list(title = "Count")
  )

In this bar plot, I only included counts of the variable elements less than 100.

Boxplot of Elevation by Weather Elements

stations |> 
  mutate(element=fct_reorder(element,elevation)) |> 
  filter(element %in% c("TMAX","TMIN","WT03","SNOW","SNWD")) |> 
plot_ly(y=~elevation,color=~element,type="box",colors="viridis") |> 
    layout(
    title = "Boxplot of Elevation by Weather Elements",
    xaxis = list(title = "Weather Element"),
    yaxis = list(title = "Elevation")
  )

In this box plot, I only included data that have element in “TMAX”,“TMIN”,“WT03”,“SNOW”,“SNWD”.